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Siyang YU Kazuaki KONDO Yuichi NAKAMURA Takayuki NAKAJIMA Masatake DANTSUJI
This article introduces our investigation on learning state estimation in e-learning on the condition that visual observation and recording of a learner's behaviors is possible. In this research, we examined methods of adaptation for a new learner for whom a small number of ground truth data can be obtained.